DMCA
Study Of Reverberation Time Series And Echo Signal Detection In Reverberation Limited Scenarios
BibTeX
@MISC{V_studyof,
author = {Sowmya S. T. V and P. Ch and Ra Sekhar},
title = {Study Of Reverberation Time Series And Echo Signal Detection In Reverberation Limited Scenarios},
year = {}
}
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Abstract
�Abstract — An innovative approach to the generation of reverberation time series and echo detection algorithms is presented The time series approach utilizes recent developments in linear spectral prediction research in which the spectra of stochastic process are modelled as rational functions and algorithms are used to efficiently compute optimal estimates of coefficients which specify the spectra. The approach taken in this paper is to detect echo signal in two steps. In the first part the reverberation time series is generated using autoregressive formulation and in the second part echo is detected using order partition prewhiten algorithm.
Keyphrases
reverberation time series reverberation limited scenario echo signal detection order partition prewhiten algorithm echo detection algorithm second part echo optimal estimate stochastic process rational function echo signal autoregressive formulation innovative approach first part linear spectral prediction research
